{"id":"W2582086626","doi":"10.1016/j.jeca.2017.01.001","title":"Learning-by-doing, organizational capital and optimal markup variations","year":2017,"lang":"en","type":"article","venue":"The Journal of Economic Asymmetries","topic":"Economic theories and models","field":"Economics, Econometrics and Finance","cited_by":2,"is_retracted":false,"has_abstract":false,"ca_institutions":"Saint Mary's University","funders":"","keywords":"Markup language; Economics; Productivity; Stock (firearms); Production (economics); Industrial organization; Microeconomics; Monetary economics; Macroeconomics; Computer science; Engineering","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":true,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.003992597,0.0004249346,0.000997762,0.0005877536,0.0008418534,0.003518271,0.001242499,0.002355196,0.006361818],"category_scores_gemma":[0.02207866,0.0004771524,0.0004598036,0.0007305577,0.002497646,0.004579799,0.00142258,0.001625716,0.0003962978],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001759832,"about_ca_system_score_gemma":0.001421484,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.002759952,"about_ca_topic_score_gemma":0.00371883,"domain_scores_codex":[0.9987493,0.0005048844,0.00008393019,0.0002467276,0.0001176666,0.0002975118],"domain_scores_gemma":[0.9779133,0.01454129,0.0040539,0.00152041,0.0006341469,0.001336899],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0006703789,0.0005588409,0.02669981,0.0002310118,0.0002446531,0.0004076918,0.0006631006,0.1974329,0.00313042,0.7165823,0.003115463,0.05026352],"study_design_scores_gemma":[0.00007872796,0.0001201532,0.01147026,0.00003990465,0.00004585273,0.00008466431,0.0003830219,0.1363157,0.0008765217,0.8493119,0.001218769,0.00005440958],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.836994,0.001872674,0.1323426,0.004055293,0.0001236135,0.00005846904,0.0003081289,0.0001719652,0.02407329],"genre_scores_gemma":[0.9955604,0.0001852548,0.002562843,0.00004923392,0.00002519702,0.00001036392,0.00002466728,0.00001020023,0.001571934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.006361818,"threshold_uncertainty_score":0.02128237,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0109034993691212,"score_gpt":0.2074264543964448,"score_spread":0.1965229550273236,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}